The Netflix TechBlog

MARCH 7, 2023

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. But we cannot search or present low latency retrievals from files Etc. in a video file. This is obviously very expensive.

Media 275

Media Latency Architecture Database 275

The Netflix TechBlog

OCTOBER 14, 2024

Overview At Netflix, the Analytics and Developer Experience organization, part of the Data Platform, offers a product called Workbench. Workbench is a remote development workspace based on Titus that allows data practitioners to work with big data and machine learning use cases at scale. We then exported the .har

Latency 217

Latency Virtualization Traffic Processing 217

Dynatrace

OCTOBER 10, 2024

Take your monitoring, data exploration, and storytelling to the next level with outstanding data visualization All your applications and underlying infrastructure produce vast volumes of data that you need to monitor or analyze for insights. Try different cell shapes. Use color coding to tell a story.

Latency 213

Latency Infrastructure Monitoring Metrics 213

Dynatrace

MAY 23, 2024

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. This significantly increases event latency. Performance is usually a primary concern when using stream processing frameworks.

Engineering 192

Engineering Tuning Latency Open Source 192

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 214

Storage Latency Efficiency Data Engineering 214

Dynatrace

OCTOBER 3, 2024

Considering the latest State of Observability 2024 report, it’s evident that multicloud environments not only come with an explosion of data beyond humans’ ability to manage it. It’s increasingly difficult to ingest, manage, store, and sort through this amount of data. You can find the list of use cases here.

Performance 259

Performance Architecture Innovation Latency 259

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Load stage is to load the data and then run stage we run the test. Load is consistent for all dbs for all tests as expected as this phase is to load the data. Again Yugabyte latency is quite high.

Benchmarking 308

Benchmarking Latency C++ Database 308

DZone

JULY 19, 2021

Many applications are deployed across multiple regions so they can meet customers where they are and/or ensure availability. However, these deployments add significant complexity to database operations and data consistency suffers.

Latency 246

Latency Database Performance Availability 246

The Netflix TechBlog

NOVEMBER 9, 2022

At Netflix, we periodically reevaluate our workloads to optimize utilization of available capacity. A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl. let’s call it GS2?—?to

Hardware 363

Hardware Cache Performance Latency 363

Scalegrid

APRIL 28, 2020

Is my database cluster still highly available? All of our high availability options are offered in DigitalOcean, including 2 Replicas + 1 Arbiter, 3 Replicas and custom replica set setups. DigitalOcean does not have the concept of availability zones (AZ), so we distribute the nodes across different regions. High performance.

Azure 344

Azure AWS Database Latency 344

Dynatrace

OCTOBER 28, 2024

As modern multicloud environments become more distributed and complex, having real-time insights into applications and infrastructure while keeping data residency in local markets is crucial. As of October 2024, Dynatrace is available on Microsoft Azure Australia East region, enabling joint customers to maintain a local SaaS presence.

Azure 248

Azure Latency Infrastructure Cloud 248

The Netflix TechBlog

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Media 245

Media Traffic Processing Design 245

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 253

Latency Cache Infrastructure Strategy 253

Scalegrid

NOVEMBER 25, 2019

ScyllaDB is an open-source distributed NoSQL data store, reimplemented from the popular Apache Cassandra database. ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal. Google Cloud.

Big Data 187

Big Data Database Open Source Azure 187

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Designed with High Availability in mind. This is crucial for repairs downstream when data has been lost or corrupted.

Database 223

Database Traffic Transportation Open Source 223

The Netflix TechBlog

MAY 4, 2023

It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 349

Traffic Latency Tuning Systems 349

Dynatrace

DECEMBER 27, 2022

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. This telemetry data serves as the basis for establishing meaningful SLOs. SLOs aid decision making. SLOs promote automation. Reliability.

Software 276

Software Software Benchmarking Latency 276

CSS Wizardry

OCTOBER 16, 2023

What is the availability, configurability, and efficacy of each? ?️ Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. And do any of our previous decisions dictate our options?

Cache 338

Cache Latency Strategy Speed 338

The Netflix TechBlog

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. But there are more interesting cases where users want to store temporal (time-based) data or spatial data. Movie Entity with id 1234 has violence.

Scalability 293

Scalability Latency Media Architecture 293

The Netflix TechBlog

JUNE 14, 2023

Testing Strategies: A Summary Two key factors determined our testing strategies: Functional vs. non-functional requirements Idempotency If we were testing functional requirements like data accuracy, and if the request was idempotent , we relied on Replay Testing. In such cases, we were not testing for response data but overall behavior.

Traffic 358

Traffic Latency Metrics Cache 358

The Netflix TechBlog

SEPTEMBER 10, 2024

Continuous Instrumentation of the Linux Scheduler To ensure the reliability of our workloads that depend on low latency responses, we instrumented the run queue latency for each container, which measures the time processes spend in the scheduling queue before being dispatched to the CPU. For this purpose, we chose the eBPF ring buffer.

Latency 251

Latency Metrics Programming Monitoring 251

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 203

DevOps Analytics Airlines Metrics 203

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Designed with High Availability in mind. This is crucial for repairs downstream when data has been lost or corrupted.

Database 209

Database Traffic Transportation Open Source 209

Dynatrace

AUGUST 20, 2024

Driven by that value, Dynatrace brings real-time observability, security, and business data into context and makes sense of it so our customers can get answers, automate, predict, and prevent. Executives are sitting on a goldmine of data, and they don’t know it. Common business analytics incur too much latency.

Analytics 219

Analytics Latency Processing Systems 219

DZone

JANUARY 19, 2023

Because with the advent of cloud providers, we are less worried about managing data centers. Everything is available within seconds on-demand. This leads to an increase in the size of data as well. Big data is generated and transported using various mediums in single requests. We need to cut down on transportation.

Best Practices 262

Best Practices Transportation Big Data Latency 262

Scalegrid

JUNE 4, 2020

Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. Now, let’s take a look at the throughput and latency performance of our comparison. Next, we are going to test and compare the latency performance between ScaleGrid and DigitalOcean for PostgreSQL. PostgreSQL DigitalOcean Latency Averages (ms).

Database 230

Database Latency Benchmarking Performance 230

CSS Wizardry

AUGUST 7, 2019

The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!).

Latency 271

Latency Ecommerce Servers Mobile 271

The Netflix TechBlog

MARCH 5, 2024

Reduced tail latencies In both our GRPC and DGS Framework services, GC pauses are a significant source of tail latencies. For a given CPU utilization target, ZGC improves both average and P99 latencies with equal or better CPU utilization when compared to G1. There is no best garbage collector.

Latency 240

Latency Java Tuning Efficiency 240

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 246

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. Active data includes jobs and tasks that are currently running. Titus Gateway handles user requests.

Cache 235

Cache Latency Traffic Systems 235

The Netflix TechBlog

FEBRUARY 20, 2019

by Jason Koch , with Martin Spier , Brendan Gregg , Ed Hunter Improving the tools available to our engineers to help them diagnose, triage, and work through software performance challenges in the cloud is a key goal for the cloud performance engineering team at Netflix. 10–20 MB/sec (it is, unsurprisingly, receiving lots of data).

Performance 217

Performance Latency Open Source Metrics 217

Dynatrace

MAY 31, 2023

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. Maintaining reliable uptime and consistent service quality has become more complex as organizations expand their computing footprints across multiple data centers and in the cloud.

Best Practices 233

Best Practices DevOps Latency Metrics 233

Dynatrace

SEPTEMBER 23, 2020

Recent improvements in OneAgent runtime-data handling. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. For example: All subfolders of the /opt directory are mounted as local, low latency, high-throughput drives, with relatively low storage capacity.

Storage 153

Storage Latency Operating System Network 153

CSS Wizardry

APRIL 22, 2020

decrease in file-size with zero loss of data. They were either running their own infrastructure and installing and deploying Brotli everywhere proved non-trivial, or they were using a CDN who didn’t have readily available support for the new algorithm. Ten TCP segments equates to roughly 14KB of data. That’s a 2.8× packet loss).

Latency 302

Latency Servers Website Speed 302

Scalegrid

OCTOBER 24, 2019

As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. Slave-2 uses an EBS data disk, and you can configure the amount of IOPS required for your cluster.

AWS 183

AWS Latency Performance Performance Testing 183

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 260

Cache Latency Airlines Logistics 260

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables).

Azure 242

Azure Latency Metrics Infrastructure 242